Paper
7 September 2023 Coordinated control of multi node loads in full scale wind turbine blade static test
Gaohua Liao, Zhimin Hong, Haoyu Zeng, Ying Zhao, Hanwen Fan, Yu Tang
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127902Y (2023) https://doi.org/10.1117/12.2689555
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
By optimizing the traction force of each load node bending moment matching blade loading process, a full-size set of frequency control of motor speed electro-hydraulic drive static test system has been researched. Deviation at each node load force as the input, the frequency for each load point of the output control, the BP (back propagation) neural network PID (proportion-proportion-differentiation) control algorithm was designed. Value output deviation value into PID controller operation frequency, deviation value and frequency value on-line adjustment of BP network, at the same time get the PID parameter setting, reduced the number of each node traction coupling, realized the node coordinate loading full size. Experimental results show that the control algorithm to solve more coupling and loading in the process of loading point traction can maintain smooth, coordinate change, have stronger anti-jamming adaptability, meet the requirement of the static loading test for blades of wind power.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gaohua Liao, Zhimin Hong, Haoyu Zeng, Ying Zhao, Hanwen Fan, and Yu Tang "Coordinated control of multi node loads in full scale wind turbine blade static test", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127902Y (7 September 2023); https://doi.org/10.1117/12.2689555
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wind turbine technology

Control systems

Neural networks

Evolutionary algorithms

Laser imaging

Neurons

Design and modelling

Back to Top